I was wondering recently about a recurring problem I see in San Francisco which is the increasing number of car break in’s through “smashing” the back window; therefore shattering it. I was talking with my friend about how data science may be able to create some kind of algorithm to track all the instances (locations) in the city and if they found out around what time and day the window was broken they might be able to create some patterns and therefore help people park their car in safer neighborhoods / better times in the day, etc.
Do you really think this is a feasible hypothesis? Could data science help car owners avoid car break ins?
Just curious about it! Let me know your thoughts if you have any!